Work Location: Kallang
Working Hours: Monday to Friday, 9:00am – 6:00pm
Salary Range: SGD 3,000 – SGD 4,500

Job Responsibilities

• Design and conduct performance, reliability, and sustainability testing

• Evaluate and analyse test data and results

• Prepare technical reports and documentation

• Install, operate, and maintain testing equipment and tools

• Troubleshoot and improve performance of existing products

• Support new product development activities

Job Requirements

• Diploma or Bachelor’s Degree in Electrical & Electronics Engineering, Mechanical Engineering, or Mechatronics Engineering

• Able to perform testing, analysis, and technical documentation tasks

• Able to work overtime when required
  

  The Supreme HR Advisory Pte. Ltd || 14C7279

  Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators.

Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in eHC and atmospheric conditions. You will also need to experimentally characterise the heat release rate (HRR), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection, and evaluate the potential fire suppression strategies on battery fires.

Job Responsibilities: 

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI.
• Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables.
• Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects.
• Prepares and shares fortnightly report of results from the computations with the PI.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields.
• Strong knowledge and experience in battery fire simulation is high advantageous.
• Hands on experience on experimental studies
• Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous
• Strong foundation in Fluid Dynamics
• Strong prior experience in CFD – particularly in battery fire combustion and spread.
• Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries.
• Proficient in handling large data sets and the ability to analysis and interpret results.
• Experience in commercial CFD package such as ANSYS package and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.

Key Competencies:

• Proficient in Ansys Fluent or FDS Simulation
• Strong foundation in Fluid Dynamics
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

We don't hire people and keep them stagnant. If you're the type who builds, mentors, and thinks long-term about how to scale a team, this track is for you.

The opportunity:

•      Start as a top-performing sales executive with an immediate path to team leadership

•      After 1-2 months of hitting targets, you move into training and developing newer sales team members

•      You're not just closing deals — you're building a culture, setting standards, and showing people how it's done

•      Overseas market exposure + leadership development trips(team stays in regional markets, deeper immersion)

Day-to-day:

•      60% client-facing (you still sell — no "manager jail")

•      40% mentorship, team strategy, campaign development

•      You own your client list + you own training your squad

•      Work closely with management on business development strategy

Why this is different:

•      5-day work week — better for focus, better for leading by example

•      Real equity in team success (your mentees' wins = your legacy)

•      We invest in your leadership skills, not just your sales skills

•      Fast trajectory: 18-24 months to team lead, 3+ years to management

•      Brands you've probably heard of in telco, ecommerce, health, and education sectors

Who we need:

•      18-30, with demonstrated leadership somewhere — NS, school, sports, community, work, or life

•      Natural mentor — people follow because they trust you, not fear you

•      Strategic thinker (you see the bigger picture)

•      Comfortable in ambiguity (growth = things change)

•      Ready to build something that lasts

The full scope? There's a lot here we can only unpack in conversation. We'll share the regional markets, key brands, and full career architecture during the interview. We're selective about who we bring into this track.

Responds within 24 hours typically.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL is looking for a motivated Research Engineer to support intensive research efforts and the delivery of projects.

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• Entry level candidates are welcome to apply

We regret that only shortlisted candidates will be notified.

Sourcing for Candidates For Our Banking Sector Client

- Interested Candidates Please Apply Directly or Reach Out To Our Recruiters (Law Bing Yee - +65 8332 1192 | EA License No. 24C2333 EA Personnel No. R23114521)

Training Program

- 6 weeks training program on bank's product & services, CRM systems & On-the-job training.

Shift Timings (Choose One Shift Option):

Option #1: Weekends Shift

Working Hours : 5 working days, 1 rest day and 1 off day per week / 42.5 hours per week

Staggered shift hours : 8.5 working hours between 7 am to 10pm + 1-hour meal break in between

Rest Day and Off Day : Scheduled by Client (1 weekday + 1 weekend, non-consecutive)

Or otherwise advised by the Client

Option #2: AM & PM Shifts + Weekends / Night

- Week 1: Mon 9am-6.30pm/Tues OFF/Wed 9am-6.30pm/Thurs 9am-6.30pm/Fri 9am-6.30pm/SAT OFF/Sun 9am-6.30pm

- Week 2: Mon 12.30-10pm/Tues 12.30-10pm/Wed OFF/Thurs 12.30-10pm/Fri 12.30-10pm/Sat 12.30-10pm/Sun OFF

- Week 3: Mon 2.30pm-12am/Tues 2.30pm-12am/Wed 2.30pm-12am/Thurs OFF/Fri 11pm-8pm/Sat OFF/ Sun 2.30pm-12am

- Week 4: Mon 3.30pm-1am/Tues 3.30pm-1am/Wed 3.30pm-1am/Thurs 3.30pm-1am/Fri OFF/Sat 11pm – 8am/Sun OFF

Job Description (Non-Sales Role)

• Inbound call handling for Bank's Accounts Servicing campaigns, products enquiries and helpdesk enquiries
• Customer Fulfillment follow through on case handling and with customers
• Ensure bank's compliance & control standards are observed and met in the execution of customers’ enquiries, transaction requests and maintaining confidentiality of Bank and customers’ information

Job Requirements

• Candidate without relevant experience are welcomed to apply
• Although preferred, previous experience in Call Centre, a financial services or Fraud setting is not essential. Our dedicated onsite Training team will provide you with a specifically designed training programme and support in your new role; and to enable you to develop and provide ongoing training for all team members.
• Possess a positive mindset with a “CAN-DO” attitude a and passion to deliver quality customer service.
• Possess a pleasant voice, excellent comprehension, communication, interpersonal skills and work etiquette.
• Possess good command of written and spoken English.
• Good analytical skills; passion for working and is good in working with numbers.
• Resourceful, proactive, results-driven, attentive to details and a good team player who likes to work in a fast-paced changing environment.
• Passion for working, responsible and with good working attitude.
• Proficient in PC skills including MS Office applications.
• Ability to work on staggered/rotational shifts including weekends and Public Holidays to support 24x7 Contact Centre service operations.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Advanced-Materials-Synthesis-and-Characterization%29/32306-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:
•    Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
•    Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
•    Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
•    Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
•    Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

•    Master’s degree in Materials Science, Chemistry, Physics, or a related field.
•    Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
•    Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
•    Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28AI-based-Digital-Pathology-Diagnosis%29/32307-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Associate (Master’s level) positions are available immediately in the Department of Biochemistry, National University of Singapore, in collaboration with the Bioinformatics Institute (BII), A*STAR, under the AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical modelling, for cancer diagnosis and prognosis using digitised pathology slides. These include both biopsy specimens and standard whole-slide images.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary!

Qualifications

General Requirements:

• Highly motivated researcher with an M.E. or M.Sc. degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

Specific Technical Requirements:

• Proficiency in one or more programming languages, such as Python, MATLAB, C/C++, or Java, with a strong emphasis on scientific computing and algorithm development.
• Extensive knowledge and hands-on experience in artificial intelligence, machine learning, pattern recognition, and digital image processing, particularly for biomedical or histopathology applications.
• Demonstrated ability to design, implement, and optimise numerical and computational algorithms, with attention to robustness, reproducibility, and performance.
• Solid understanding of computer vision techniques relevant to cellular and subcellular analysis, such as image segmentation, object detection, feature extraction, and quantitative measurement.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or equivalent, including model training, evaluation, and deployment.
• Familiarity with quantitative biomarker analysis, including intensity normalization, spatial localization, and expression scoring; prior experience with membrane protein or immunohistochemistry (IHC) analysis is highly desirable.
• Basic knowledge of cell biology, pathology, or histological staining principles is an advantage, particularly in understanding membrane-localized protein expression.
• Ability to rapidly learn new concepts and integrate knowledge across AI, biology, and clinical domains.
• Experience or strong interest in collaborative research with hospitals and clinical partners, including interaction with pathologists and clinicians.
• Strong communication skills, with the ability to present research outcomes clearly at internal meetings, seminars, and external conferences.
• Proven capability in scientific writing, including technical documentation, reports, and peer-reviewed publications.
• Good research practice, including code version control (e.g. Git), experiment tracking, and adherence to reproducible research standards.

Please email a detailed CV containing a list of publications to the NUS Career Portal.

We regret that only shortlisted applicants will be notified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Engineer to work on the NLP project The role will focus on researching the LLM effectiveness.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs.

• Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system.

• The research should lead to publications in top-tier international conferences and journals

Job Requirements:

• Bachelor degree in Computer Science, Electrical Engineering or related disciplines

• Prior experience in NLP, and state-of-the-art ML techniques would be a plus;

• Good interpersonal communication and oral presentation skills;

• Experienced in working in a team, with people of diverse skillsets and cultural background

We regret to inform that only shortlisted candidates will be notified.

Key Responsibilities

· As part of the delivery team, the position will be responsible for the delivery of Global platform, managing the quality of functional delivery and ensuring the implementation of agreed functional capability

· Contribute to building expertise by mentoring, guiding and training as appropriate

· Functional lead for the roll-out of multi-country programs working closely with Intellect Delivery team and internal stakeholders across implementation, technology

· Working closely with stakeholders to develop practical domain roadmaps to move the enterprise towards the future state vision, while taking into account business, technical and delivery constraints

· Analyzing stakeholder requirements, current state architecture, and gaps to create a future state architecture vision for one or more parts of the enterprise with a focus on reduced complexity, cost efficiencies, reuse, reduced risk and/or improved business capabilities

· Reviewing problem ticket and incident to propose short term and long term resolution to fit with the domain roadmap

· Guiding and challenge the project on functional architecture, design decision and performance testing

· Reviewing non-functional requirement and proposed architecture changes to anticipate evolving non-functional requirements

· Communicating the principles, standards, vision and roadmaps to stakeholders and proactively addressing any questions / concerns identified

· Acting as a trusted advisor to stakeholders in both business and IT to assist in defining and delivering high quality solutions

· Provide thought leadership on functional architectural or other topics

· Embed Platform Thinking in everything

Relevant experience as a system analyst in Front Office processes in Capital Markets
• Experience on workflows (pre-trade and post-trade) in Murex 3.1
• Solid experience in gathering and writing requirements and functional specifications
• Should have good understanding of capital market business with in-depth knowledge of front/Middle office functions (pricing, Valuations and Risk).
• Resource must have Hands on experience working with some key asset classes (FX/MM, FI, IRD, COM, Equity or Credit).
• Resource must have good understanding of market data for different asset classes (IR curves ,Volatility Smiles/Surface for products with optionality , Bond & Future Prices ,FX Spot rates etc.) , Good to have experience of setting market data in Murex treasury platform (Not mandatory)

Key Responsibilities

• Self-motivated risk management professional with an interest in delivering strategic change solutions to enable effective solutions around traded risk management
• Good understanding of key market risk concepts (eg. traded products, VaR, stress testing, risk/limit management)
• Good understanding of key credit risk concepts (eg. traded products, counterparty risk, credit approval process, limit management, excess management)
• Strong technical knowledge specially in Murex domain
• Good business domain knowledge of banking & trading book
• Good understanding of datamart and simulation module in GMP
• Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders
• Good problem solving, analytical, synthesis, system thinking and solutioning skills
• Ability to identify, monitor and manage project risks, issues and dependencies, and agree appropriate solutions with sponsors and key stakeholders
• Strong influencing skills to achieve alignment up and down the organization
• Experience in implementing large-scale, highly available applications or other large project implementation
• Proven result-oriented person with a focus on delivery
• Good understanding and experience in software development cycle

Required Skills

• Experience working with MUREX
• Functional understanding of counterparty risk and pfe
• Experience in product pricing methodologies
• Experience in VaR, MRA, MRE Configurations
• Understanding of the model assignments, market data, Rate curves etc.
• Understanding of simulations and datamart module
• Strong technical & functional background.

Education:

• Bachelor's or Masters degree in computer science, engineering or in Finance domain
• Related professional/technical qualification will be advantageous although not mandatory
• Strong Murex Knowledge

Burnt out in your last role? Tried corporate, call centre, retail, operations? Time for something that actually *uses your brain* and pays better?

Why F2F B2B sales is different:

•      You're not pestering people — you're invited into their offices to solve actual business problems

•      Every conversation is different. Every client has a unique need. Your job is to figure it out, then solve it.

•      You're building *relationships*, not tick-boxes. Better for your sanity, better for your wallet.

What the role looks like:

•      Monday–Friday office visits (strategy calls, presentations, deal closure)

•      You'll pitch solutions to managing directors and business owners in telcos, ecommerce, health, education

•      Ongoing mentorship from experienced team members who've made the switch themselves

•      Travel to regional markets 3+ times per year (part of your learning, part of your perk)

•      Fast growth: hit targets → train new team → earn promotions + pay rises

The real talk:

•      We hire people, not CVs. Switched from 5 different industries? Cool, that diversity matters to us.

•      You need to be cool with rejection without getting defensive (it's not personal, it's just sales)

•      You'll get structured training, but you also need to take ownership of your learning

What you'll learn:

•      How to read a client and adapt your pitch in real-time

•      Consultative selling (way more interesting than transactional stuff)

•      How to build a sustainable client relationship that comes back for repeat business

•      Leadership skills (we develop our people fast — you train others within 6-12 months)

We respond within 24 hours. Apply if you're genuinely ready for a change.

About D Aurelius Group:

We're a consultative B2B sales firm specializing in face-to-face client engagement with decision-makers. Our sectors include telecommunications, ecommerce, health, and education. We value people who think long-term about building sustainable client relationships and developing talent.

We are seeking dedicated trainees for our structured mentorship programme. This role is designed for candidates who want systematic training in consultative B2B sales, with clear pathways to progression and team leadership.

About the programme:

Our Trainee Track pairs you with experienced sales professionals for 6–12 weeks of intensive mentorship, followed by supervised client engagement. You'll learn how to:

•      Conduct professional consultations with business decision-makers

•      Diagnose client needs through structured questioning

•      Present solutions that address specific business challenges

•      Build sustainable client relationships

•      Manage your own client pipeline

Key responsibilities:

•      Attend structured training sessions on sales methodology and client engagement

•      Shadow experienced team members on client visits

•      Conduct supervised client meetings (with mentor guidance available)

•      Maintain detailed client interaction records

•      Participate in team debriefs and continuous improvement discussions

•      Travel to regional markets as part of development (3+trips per year)

Ideal candidate profile:

•      Age 18–28, Fresh Graduate, ORD, or early career

•      Coachable and eager to develop professional sales skills

•      Comfortable receiving feedback and iterating your approach

•      Natural communicator with professional bearing

•      Strong work ethic and commitment to structured learning

•      No prior sales experience required (attitude matters more)

What you'll gain:

•      Rigorous mentorship from people who've built successful client lists

•      Hands-on experience in real B2B consultations

•      Pay progression as you hit performance milestones

•      Leadership track: after 12–18 months, transition to training others

•      Overseas market exposure multiple times per year

•      5-day work week with dedicated development time

•      Professional accreditation opportunities (ongoing)

Benefits:

•      Overseas travel (covered by company)

•      Career development investment

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow on the design, synthesis and applications of nanomaterials, green energy materials and nuclear power material. The role will focus on providing strategic leadership and expertise in the synthesis and characterization of advanced nanomaterials, specifically focusing on the integration of machine learning, wafer-scale synthesis of materials. The role will contribute to the university's research mission by conducting fundamental research, helping secure external funding, mentoring junior researchers, and fostering collaborations to advance the field of materials science and its applications in next-generation electronic devices.

Key Responsibilities:

• Lead research projects focused on the design, synthesis, and applications of nanomaterials, battery materials and nuclear power material.

• Programme and manage research activities, including experimental design, data analysis, and interpretation, ensuring alignment with project goals and timelines.

• Develop and implement machine learning-driven approaches for green energy materials and nuclear power material design, predictive synthesis optimization, and high-throughput data analysis.

• Develop novel synthetic methodologies and characterization approaches for advanced nanomaterials, leading to high-impact publications and potential technological applications.

• Mentor graduate students and postdoctoral researchers, providing guidance on research techniques, data analysis, and scientific writing.

• Collaborate with internal and external stakeholders on interdisciplinary research projects, leveraging expertise in materials synthesis, characterization, and device fabrication.

• Disseminate research findings through high-impact publications, presentations at international conferences, and engagement with the scientific community.

Job Requirements:

• Ph.D. in Physics, Materials Science, or a related field.

• Extensive experience in the controllable synthesis of nanomaterials.

• Expertise in all-solid-state lithium batteries, Hydride solid electrolytes, Li-rich cathode materials and Si anode materials for Li-ion batteries.

• Expertise in the characterization of nanomaterials using various techniques, including OM, SEM, TEM, XRD, AFM, and XPS.

• Familiarity with in-situ characterization and theoretical simulations.

• Strong record of publishing in high-impact, peer-reviewed journals.

• Experience presenting research findings at international conferences.

• Advanced materials synthesis (particularly chemical vapor deposition).

• Nanomaterial and battery characterization (OM, SEM, TEM, XRD, AFM, XPS).

• High-throughput experiment design and data analysis.

• Scientific writing and communication.

• Mentoring and collaboration.

• Nuclear power material.

We regret to inform that only shortlisted candidates will be notified.

Position: Tuition Teacher (English Language, Math, Science)
Working Days: Wed to Sun, Mon & Tues off
Working Timing: 32 hours / Week
Working Location: Tampines Changkat Community Centre
Starting Salary: $2500 - $3500 (depends on experiences)

Responsibilities:

• Utilise provided Curriculum and Learning Methodology to help students succeed in school academics and ultimately in the PSLE.
• Assist in curriculum development during non teaching hours
• Administrative and operational work when required

Requirements:

• Degree holder 
• At least 1 year of teaching experience in P1 - P6 English curriculum
• Training provided for P1 to P6 Mathematics and Science teaching

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 8093 8699 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

This role is for the Global Markets Programme – Risk Project implementation using Murex v3. The role requires the successful candidate to gather requirements, work with the vendors and drive the testing with the end users to ensure a successful deployment of the project.

Key Responsibilities

• Self-motivated risk management professional with an interest in delivering strategic change solutions to enable effective solutions around traded risk management
• Good understanding of key market risk concepts (eg. traded products, VaR, stress testing, risk/limit management)
• Good understanding of key credit risk concepts (eg. traded products, counterparty risk, credit approval process, limit management, excess management)
• Strong technical knowledge specially in Murex domain
• Good business domain knowledge of banking & trading book
• Good understanding of datamart and simulation module in GMP
• Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders
• Good problem solving, analytical, synthesis, system thinking and solutioning skills
• Ability to identify, monitor and manage project risks, issues and dependencies, and agree appropriate solutions with sponsors and key stakeholders
• Strong influencing skills to achieve alignment up and down the organization
• Experience in implementing large-scale, highly available applications or other large project implementation
• Proven result-oriented person with a focus on delivery
• Good understanding and experience in software development cycle

Requirements:

Required Skills

• Experience working with MUREX
• Functional understanding of counterparty risk and pfe
• Experience in product pricing methodologies
• Experience in VaR, MRA, MRE Configurations
• Understanding of the model assignments, market data, Rate curves etc.
• Understanding of simulations and datamart module
• Strong technical & functional background.

Optional Skills

Education:

• Bachelor's or Masters degree in computer science, engineering or in Finance domain
• Related professional/technical qualification will be advantageous although not mandatory
• Strong Murex Knowledge